Top AI Jobs in Los Angeles, CA

Design, develop, and productionize multimodal AI systems (VLMs, LLMs, reasoning models) and end-to-end ML pipelines for geospatial data. Build training/experiment frameworks, synthetic datasets, scalable inference, monitoring, and collaborate with research, engineering, and product teams to deliver Earth intelligence solutions.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Build and own analytics and AI-driven reporting for Care Partnerships. Create self-service insights, predict partner health, prioritize outreach, instrument experiments and launch analytics infrastructure to scale referrals and partner relationships.

Design and build scalable, automated evaluation pipelines and infrastructure to validate speech, audio, and multimodal models. Translate research benchmarks into enforceable pass/fail gates, run batch and streaming tests, operate canaries and continuous monitoring, integrate quality gates into CI/CD, and partner with research, training, inference, and infra teams to prevent regressions and ensure production model quality.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

As a Senior AI/Data Engineer, you will design and maintain scalable data and AI infrastructures, partnering with cross-functional teams to deliver reliable data systems and support AI-driven business capabilities.

The Director will lead and manage the firm's AI and data science initiatives, oversee a multidisciplinary team, and develop AI solutions that enhance operational efficiency and decision-making in legal contexts.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.

Lead strategy, roadmap, and lifecycle for AI/ML-powered products and platform integrations; drive ideation to launch, cross-functional collaboration, stakeholder communication, data-driven decisions, and go-to-market activities.

Lead strategy and delivery for an AI-powered claims decision-support and auto-adjudication platform. Define vision and roadmap, manage a team of product managers, partner with business, engineering, and data science, and drive adoption, impact measurement, and executive-level communication across a complex, matrixed enterprise.

Lead the AI Platform team to build and scale ML and agent runtimes, including data/model enrichments, orchestration, observability, evaluation, and reliability. Set platform strategy, define standards, prioritize cross-functional work, and grow engineers while balancing velocity, security, and operational rigor for mission-critical defense applications.

Build end-to-end internal AI agents and workflow automations: discover high-value opportunities, redesign processes, implement LLM-based agents with integrations, deploy and operate solutions, and ensure security, compliance, monitoring, and adoption across GTM teams.

Lead AI Observability product from vision through GA and post-GA growth. Own roadmap, business outcomes (adoption, retention, expansion), pricing, and exec reporting. Drive cross-functional engineering and design teams, partner with enterprise customers on production AI/LLM issues, build agentic AI prototypes, and iterate on features and packaging based on GA customer feedback.

The AI Strategy & Operations Advisor will operationalize AI strategies, build governance frameworks, assess AI maturity, and advise leadership teams.

Postdoctoral researcher to support P50 analyses using AI and machine learning applied to human brain MRI. Responsibilities include MRI data acquisition and analysis, statistical analyses, model development, and collaboration on projects; experience with stroke and federated learning is a plus.

Lead multi-year vision and roadmap for AI/ML recommendation and prediction products. Align executives, prioritize using data and research, and guide engineering to deliver scalable ML features. Evangelize AI product standards, mentor other PMs, and partner with design, data science, and engineering through the full delivery lifecycle.

Co-founder CEO to lead an AI-native accounting agent platform for small-to-mid CPA firms. Own strategy, customer development and pilots, product with studio engineering, fundraising, and founding team recruitment. Partner with FutureSight for pre-seed capital, design/engineering resources, and go-to-market support. This is an equity co-founder role focused on launching and scaling an AI-driven accounting product.

Lead technical direction and architecture for DAP Repository Flows, design and ship autonomous and scheduled agents that operate on customer repositories, improve DAP onboarding, collaborate across teams on platform interfaces, mentor engineers, and solve high-scale technical problems to raise engineering quality.

Lead design, deployment, and operationalization of agentic LLM-driven workflows across GTM systems. Translate business needs into scalable AI integrations, define orchestration and governance patterns, guide engineering teams, ensure security/compliance, and drive stakeholder alignment for enterprise AI programs.

Lead hands-on engineering delivery of agentic AI solutions for GTM systems. Design and build LLM-powered workflows, autonomous agents, RAG and semantic search pipelines, Salesforce and Slack integrations, CI/CD and observability, enforce AI governance/security, mentor engineers, and drive prototypes to production across enterprise GTM platforms.

Design, build, test, deploy, monitor, and maintain production LLM-based agentic solutions for Commercial Customer Success. Integrate agents with CRMs and Samsara systems, define evaluation frameworks and success metrics, implement automated tests and monitoring, iterate on models and prompts, and demonstrate impact on customer outcomes and retention.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

Lead cross-functional programs to transform customer support with AI-powered automation, agent tooling, analytics, and vendor evaluations. Define roadmap, size opportunities, set success metrics/OKRs, manage dependencies, and drive rollout/change management while partnering with Product, Engineering, Analytics, and Operations to deliver measurable CX improvements.

Own and improve the AI Social render pipeline and agent loops that generate on-brand Instagram carousels and reels. Build prompts, structured outputs, tool-calling, and media composition to ship high-quality generative image, video, voice, and music products in collaboration with product, design, and content strategy.